OpenAI API Programming — Part 2: Tools, RAG & Advanced Patterns

Ready to go beyond the basics of the OpenAI APIs?

In this follow-up session, we’ll dive into the real power features that turn simple prompts into production-ready AI systems. If you joined our first meetup (or have basic familiarity with the API), this session will show you how to build real world applications.

#### 🔧 What we’ll cover

1. Function Calling & Tools

How to let models call your APIs and systems
Building structured, reliable workflows
Using built-in tools like web search and file retrieval
When to use function calling vs. tool orchestration
2. Vector Stores & Retrieval

Turning your data into searchable embeddings
Using OpenAI vector stores as “long-term memory”
Semantic search vs keyword search (why it matters)
3. Retrieval-Augmented Generation (RAG)

The “secret sauce” behind modern AI apps
Combining LLMs with your own data for accurate answers
Architectures and patterns you can actually deploy
4. Fine-Tuning (When—and when NOT—to use it)

What fine-tuning is really good for (and common misconceptions)
When RAG is a better solution
Practical tradeoffs in cost, maintenance, and performance
5. Putting It All Together

Designing multi-tool, multi-step AI systems
Patterns for real-world apps (agents, copilots, internal tools)
Live coding / architecture walkthrough (time permitting)

Видео OpenAI API Programming — Part 2: Tools, RAG & Advanced Patterns канала RIIS LLC